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By dEEpEst
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Knowing your customers' needs is key to customer satisfaction. Your high-quality products and services will depend on the information you gather about them.
Data generation and analysis are essential. In a large business, the benefits of big data analytics are invaluable to making well-informed decisions.
Is it possible to use big data analytics to prevent cyber threats? You will learn about What Is Big Data Analytics
and How to Prevent Cyber Security Attacks in this article.
What Is Big Data Analytics?
Big data consists of data in high volumes, variety, and velocity. You deal with customers who produce tons of unstructured and raw data.
Today, businesses generate more data than ever using advanced technologies involving Artificial Intelligence (AI) and the Internet of Things (IoT). Big data analytics enable companies with large amounts of data to analyze it more easily.
A big data analytics project entails analyzing data sets to understand and predict behaviors.
Companies use analytic techniques and software to interpret large quantities of consumer data that help them to understand their customers, meet their needs, and position themselves strategically.
5 ways that big data analytics can help prevent cyber threats
Increasing data generation makes cyber-threats more likely. It is in the interest of cybercriminals to compromise the large amounts of information that big businesses produce.
The use of data analytics is creating good cyber defenses, even though we still have a long way to go. We're going to explore some ways big data analytics reduces cybersecurity risks.
1. 1. Predictive Modeling
When you observe cyber threat patterns, you can create predictive models that send you alerts whenever an attack occurs at an entry point.
Cyber threat patterns emerge by using artificial intelligence and machine learning services. With a real-time defense system, you can limit a cyber threat that extends beyond a network's touchpoint.
1. 2. Automating and monitoring at scale
Employee ignorance of cybersecurity practices results in a high rate of cyberattacks in many organizations. Your employees might help attackers gain access to your network if they don't know how to avoid an attack.
Furthermore, big data analytics can help your organization foster a cybersecurity culture by continuously tracking employee activity. By limiting the effect of someone's action, your network remains safe.
3. Live detection of intrusions
An attacker can bring down a network in one shot. Protect your network from such an attack.
You can detect an attack before it reaches the network's entry point by installing intrusion detection systems. Big data analytics enables you to automate this type of process at scale.
An intrusion detection system that analyzes data in real-time can reveal details of an attack so you can block it. Then, you can use this information to nullify an attack on the ground instantly.
1. 4.Managing risks intelligently
Knowing about potential threats will give you a better defense.
Analyzing big data can help you
gain insight into the activities within and around your network. A detailed analysis of cyber-security data provides a clear understanding of how attacks originate, allowing you to pinpoint the root cause.
2. 5.Visualizing threats
Analytics of such vast data allows you to make more accurate predictions about the activities within your network, enabling you to be proactive about cybersecurity.
The use of advanced data analytics can provide insight into cyberattacks that have occurred at an organization.
Summary
Don't allow cybercriminals to penetrate your network.
The most common reason for cyberattacks is human error or network blind spots. A loophole exists or a cybercriminal has taken advantage of you.
By using big data analytics, you gain vital insight into your system's operation. And, if anything goes wrong, you'll be able to get a real-time response to rectify the problem. The importance of big data analytics in the digital age is increasing every day.
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By dEEpEst
WifiPhisher – WiFi Crack and Phishing Framework
Wifiphisher is an open source framework that can be utilised for red team engagements for wireless networks through Man in the Middle attacks. The tool is capable of using the modern wifi association techniques, such as Known Beacons, KARMA, and Evil Twin. With the ‘Known Beacons’ technique, Wifiphisher broadcasts ESSIDs that are known to the audience. KARMA is a masquerading technique where Wifiphisher acts like a public network. Evil Twin is the most common technique where rogue access points are created. Moreover, the tool can also be used to launch phishing attacks for stealing social account credentials and payload injections against wifi clients.
Wifiphisher Installation
wifiphisher clonning Wifiphisher requires a wireless network adapter that must be capable of packet injection and support monitoring mode. Wifiphisher is supported by Linux OS with Kali Linux as the officially supported distribution. The installation can be performed by cloning the tool from Github using the following command:
git clone https://github.com/wifiphisher/wifiphisher.git After cloning the tool, move to the Wifiphiser directory and run the installation file using the following command.
cd wifiphisher sudo python setup.py install wifiphisher-installation
How Wifiphisher Works
Wifiphisher can be launched with or without any parameters or options. To run the tool without setting any options, just type wifiphisher or python bin/wifiphisher in the terminal. The tool looks for the appropriate wifi interface and opens in a GUI mode as shown in the following screenshot.
wifiphisher searching for access points After the GUI interface is open, the tool searches for available wifi networks (ESSIDs) in the surrounding area. The target ESSID can be selected through the up/down arrow keys.
wifiphisher found aps As mentioned earlier, the tool is capable of performing all the modern MITM WiFi attacks. KARMA and Evil Twin are the default attack modes of Wifiphisher. The Evil Twin attack can be performed by running the tool with the following command options.
wifiphisher -aI wlan0 -jI wlan1 -p firmware-upgrade --handshake-capture handshake.pcap The above command uses wlan0 interface as a rogue access point where victims can connect. The wlan1 with –jI flag is used to launch a Denial of Service (DoS) attack. The DoS attack prevents users from connecting to the real access point. The firmware-upgrade option is displayed to the users to enter the wifi key to connect and upgrade the (fake) firmware. The handshake argument in the command verifies that the user provided key is authentic.
wifiphisher firm-upgrade attack Wifiphisher is not limited to stealing WiFi credentials. It can be used to inject malicious code/malware into a victim’s machine using plugin-update scenario.
wifiphisher --essid Office_Wifi -p plugin_update -pK <Pre-shared Key> The above command sends a plugin update option to the ESSID named as Office_Wifi. The WiFi key (pre-shared key) is known to the attacker in this scenario. Victims who perform the plugin update task actually download malicious code in their machines. The code can be a malware or a shell that can provide remote access to the attacker. Similarly, Wifiphisher can also be used to steal social network credentials of the users.
wifiphisher --noextensions --essid "Free wifi" -p oauth-login -kB The above command asks the users to connect to the Free wifi ESSID by entering their social account credentials like FB.
wifiphisher stealing social credentials -
By itsMe
Hidden Content
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HaE is used to highlight HTTP requests and extract information from HTTP response messages or request messages.
The plugin can custom regular expressions to match HTTP response messages. You can decide for yourself whether the corresponding request that meets the custom regular expression match needs to be highlighted and information extracted.
Note: The use of HaE requires a basic regular expression foundation for testers. Since the Java regular expression library is not as elegant or convenient as Python when using regular expressions, HaE requires users to use () to extract what they need The expression content contains; for example, if you want to match a response message of a Shiro application, the normal matching rule is rememberMe=delete, if you want to extract this content, you need to become (rememberMe=delete).
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By itsMe
Hidden Content
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GDBFrontend is an easy, flexible, and extension-able gui debugger.
Changelog v0.8 beta
New Terminal Daemon
The default port is changed to 5550 and ort usage is downed to only one port no longer with new Terminal Daemon.
Hotkeys (F5-F11 for runtime control and CTRL+R for ExpressionEvaluater)
Minor bug fixes and enhancements
New Sky Theme
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GDB does not give sources of a linked object until stepping a line that calls a function from the linked object once. You can add breakpoint a line and step it once, then you will see sources from linked objects hereafter during the session.
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By itsMe
Hidden Content
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Kali contains a vast array of hacker tools and utilities (password attacks, sniffing and spoofing, reverse engineering, ...). Hacking foreign WiFi/WLAN (wireless attacks) and more. Kali is designed for digital forensics and penetration testing.
Kali is preinstalled with numerous penetration-testing programs, including nmap (a port scanner), Wireshark (a packet analyzer), John the Ripper (a password cracker), and Aircrack-ng (a software suite for penetration-testing wireless LANs). Kali can be run from a hard disk, live DVD, or live USB.
The most advanced penetrating testing distribution, ever.
Kali, the most advanced and versatile penetration testing distribution ever created. Kali has grown far beyond its humble roots as a live DVD and has now become a full-fledged operating system.
Note: Kali is Linux based, but suitable for all Windows versions.
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